Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)

Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)

Recently, numerous studies have been conducted on Missing Value Imputation (MVI), intending the primary solution scheme for the datasets containing one or more missing attribute’s values. The incorporation of MVI reinforces the Machine Learning (ML) models’ performance and necessitates a systematic...

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Bibliographic Details
Main Authors: Md. Kamrul Hasan, Md. Ashraful Alam, Shidhartho Roy, Aishwariya Dutta, Md. Tasnim Jawad, Sunanda Das
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Incomplete datasets
Imputation methods and evaluations
Machine learning classifiers and evaluations
PRISMA technique
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821002653

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http://www.sciencedirect.com/science/article/pii/S2352914821002653

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